Data Scientist, Ontology

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.

As an early to mid-career Data Scientist, you might be wondering what makes MITRE different than other government contractors and consulting firms. Many of our recent hires answered YES to at least one of the questions below:

• Are you interested in contributing to technical projects that you can feel passionate about?
• Do you want to feel like your ideas are valued and you are more than just an FTE?
• Are you interested in working for a company where a 40-hour week is the norm and not the exception?
• Do you want exceptional benefits, including tuition reimbursement for coursework towards an advance degree in a technical discipline?

The Architecture Analytics Department is seeking a motivated, creative Data Scientist to apply cutting edge tools and techniques to challenging problems facing the US government. Our employees are expected to work on multiple projects, cross-pollinate good ideas across the government and continuously learn. We are truly an interdisciplinary department that thrives on having a large toolbox to support data- and model-driven decision making. We value people who can bring diverse perspectives.

Our department works to solve problems in the public interest, in partnership with the government. We also actively conduct independent research in areas of interest to our government partners. Once established with a proven track record of quality delivery and consistent performance, members of our department have latitude to select projects.

Must be a US citizen capable of obtaining and maintaining a Top Secret / SCI US government clearance

To be successful you will:

• Be passionate about applying data analytics to real world problems.
• Have an innate curiosity and interest in developing research questions and testing hypotheses with open ended tasking.
• Work with a spectrum of government sponsors to gain understanding of their challenges, evaluate possible solutions and conduct insightful, actionable analyses.
• Support the development and application of a variety of analytical models to sponsor challenges, with a willingness to adapt and learn.
• Present results in an intuitive, actionable manner that can be understood by all sponsor audiences, regardless of technical expertise.
• Support projects throughout their life cycle, including conceptualization, requirements definition, data procurement, development, integration, and socialization. 

Required Qualifications:

• Must be a US citizen capable of obtaining and maintaining a Top Secret / SCI US government clearance.
• Bachelor's degree in Computer Science, Data Analytics or related field
• Significant academic concentration in a quantitative field such as Statistics, Mathematics, Operations Research or Computer Science.
• Applicable internship or work experience in the Data Science / Data Analytics field
• Demonstrated ability to manipulate large datasets with at least one modern programming language or business intelligence platform like Python, SAS, MATLAB, C++, R or Java.
• Experience visualizing multi-dimensional data using tools like Tableau, ggplot2, matplotlib, seaborn, or D3.js.
• Excellent written and verbal communication skills.
• Ability to apply, modify and formulate algorithms and processes to solve challenging problems.
• Demonstrated experience leading customer facing engagements emphasizing data analytics.
• Position will be located in Mclean, VA or Ft Meade MD

Preferred Qualifications:

• Preference given to qualified candidates hold active clearance.
• Familiarity with Web Ontology Language (OWL), RDF and SPARQL and related technologies.
• Experience applying various machine learning approaches (e.g., random forest, neural networks, support vector machines).
• Prior experience working with databases (e.g., PostgreSQL, Oracle, MySQL, MongoDB, Neo4j).
• Experience using version control (e.g., Git, Mercurial, SVN) to support collaborative development.
• Advanced degree in Operations Research, Statistics or Data Science.

This requisition requires the candidate to have a minimum of the following clearance(s):

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):